Subject: [AUDITORY] Telecom Paris' ADASP research group is hiring PhD students, postdocs & research engineers to develop machine listening/speech/MIR/ technologies for AI-powered hearables From: Slim Essid <slim.essid@xxxxxxxx> Date: Wed, 4 May 2022 11:07:26 +0200[APOLOGIES FOR CROSS-POSTINGS] [html version: https://adasp.telecom-paris.fr/resources/2022-05-03-audibl= e-positions/] Telecom Paris' ADASP research group (https://adasp.telecom-paris.fr) is w= elcoming applications for=20 multiple PhD student, postdoc and research engineer positions in machine = listening, MIR and speech /=20 audio / music DSP to start in September 2022 onwards. The work will be performed as part of a collaborative project whose purpo= se is to revolutionise hearable technologies (especially TWS/earbuds) by offering extremely effi= cient real-time machine listening, speech processing and MIR solutions which can run on very low = consumption hardware. Telecom Paris [2] is located on the Plateau de Saclay (Paris outskirts). = Accepted candidates will join the ADASP group [4], a multidisciplinary team working at the interse= ction of machine learning, sound, music and signal processing. -- Relevant topics Should you resonate with any of the following keywords, do not hesitate t= o apply (provided that you comply with the requirements further below): - Model-based, few-shot, frugal, self-supervised and semi-supervised lear= ning - Domain-shift adaptation, knowledge distillation and deep net quantizati= on - Online speaker identification, diarization and separation - Speech enhancement/denoising - DCASE topics : acoustic scene classification, sound event detection and= localization - MIR topics : music representation learning, real-time remastering, auto= tagging -- Profile of the candidates --- All candidates - Strong communication skills in English (French is not required) - Team spirit - Excellent coding skills --- PhD student candidates - MSc. in one of the following areas: computer science, machine learning,= data science, signal processing or machine listening - Sufficient background in machine learning and signal processing, ideall= y audio/speech signal processing --- Postdoc candidates - A PhD degree - A track record of research and publication in one or more of the follow= ing areas: machine learning, signal processing, machine listening, edge machine learning - Experience in deep learning (ideally) applied to audio / speech analysi= s / machine listening --- Engineer candidates - MSc. in one of the following areas: computer science, electrical engine= ering or electronics - Experience with real-time audio DSP / edge computing (especially edge m= achine learning) / ML ops=20 will be a big plus - Sufficient background in machine learning and signal processing, ideall= y audio/speech signal processing -- Important Dates Review of applications will start as soon as possible, and continue until= all posts are filled. -- How to apply The application shall be submitted via email (slim.essid@xxxxxxxx= ) as a *single pdf file*, including: - a letter of motivation - a complete and detailed curriculum vitae, including email contact detai= ls of two references -- Context Telecom Paris [2] is a French leading engineering school and scientific r= esearch institution, founded in July 1878. It is a founding member of the Institut Polytechniq= ue de Paris [1], a world-class scientific and technological institution. The Information Processing and Communication Laboratory (LTCI) [3] is Tel= ecom Paris=E2=80=99 in-house research laboratory. Since January 2017, it has continued the work previo= usly carried out by the CNRS joint research unit of the same name. The LTCI was created in 1982 a= nd is known for its extensive coverage of topics in the field of information and communicatio= n technologies. The LTCI=E2=80=99s core subject areas are computer science, networks, data science, signal a= nd image processing and digital communications. The laboratory is also active in issues related t= o systems engineering and applied mathematics. The open position will be hosted by Telecom Paris=E2=80=99 Audio Data Ana= lysis and Signal Processing (ADASP)=20 group [4], a subgroup of the statistics, signal processing and machine le= arning (S=C2=B2A) team, within=20 the Images, Data & Signals (IDS) department. -- Contact Slim Essid, Coordinator of the ADASP group [1] https://www.ip-paris.fr/en [2] https://www.telecom-paris.fr/en/home [3] https://www.telecom-paris.fr/en/research/laboratories/information-process= ing-and-communication-laboratory-ltci [4] https://adasp.telecom-paris.fr